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Real-time demand forecasting for an urban delivery platform
Generating bunkering statistics from AIS data: A machine learning approach
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Applications of machine learning methods in port operations – A systematic literature review
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Feature subset selection for predicting the success of crowdfunding project campaigns
Estimating urban freight flow using limited data: The case of Delhi, India